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Sarat A. Frontend, Mobile and General Development

My name is Sarat A. and I have over 2 years of experience in the tech industry. I specialize in the following technologies: React, Python, JavaScript, React Native, MERN Stack, etc.. I hold a degree in Bachelor of Science (BS), High school degree, Other. Some of the notable projects I’ve worked on include: Aarzu - Mobile Application Dev, Harf - Research, Authorship Attribution (Machine Learning), Fixer At Home. I am based in Lahore, Pakistan. I've successfully completed 4 projects while developing at Softaims.

I value a collaborative environment where shared knowledge leads to superior outcomes. I actively mentor junior team members, conduct thorough quality reviews, and champion engineering best practices across the team. I believe that the quality of the final product is a direct reflection of the team's cohesion and skill.

My experience at Softaims has refined my ability to effectively communicate complex technical concepts to non-technical stakeholders, ensuring project alignment from the outset. I am a strong believer in transparent processes and iterative delivery.

My main objective is to foster a culture of quality and accountability. I am motivated to contribute my expertise to projects that require not just technical skill, but also strong organizational and leadership abilities to succeed.

Main technologies

  • Frontend, Mobile and General Development

    2 years

  • React

    1 Year

  • Python

    1 Year

  • JavaScript

    1 Year

Additional skills

Direct hire

Potentially possible

Previous Company

10Pearls

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Experience Highlights

Aarzu - Mobile Application Dev

1) Used MERN Stack for mobile application development. 2) Utilized React Native for front end and MongoDB, Express, and Node.js for the backend, 3) Conducted extensive user research, UX user testing, leading to an improved UI that enhances user experience. 4) Prototyped UI designs using Figma, aligning with best practices and usability heuristics. 5) Rigorously tested the prototypes with a diverse group of over 50 users to validate and refine the user experience. 6) Created robust system to accommodate up to 1000 concurrent users seamlessly and ensured efficient data handling and system functionality.

Harf - Research

This research addresses the widespread challenge of learning Urdu among students in Pakistan, focusing on the often perceived difficulties and lack of engagement. The investigation explores a novel approach—learning through play and gamification—as a hybrid solution tailored for elementary students. The resulting product, named HARF, was meticulously designed using user-centered principles to heighten interest in the language. By combining technology with hands-on learning, HARF aims to keep students engaged and foster a genuine enthusiasm for Urdu. The research involved observational and experimental studies with 10-15 students aged 5-9 years, demonstrating the effectiveness of this hybrid method. The findings indicate a favorable response from students, highlighting the potential of this interactive and enjoyable approach to learning Urdu, motivating students to actively participate in the language acquisition process.

Authorship Attribution (Machine Learning)

1) Used Embeddings to get features of the dataset consisting of over 1000 tweets 2) Implemented scikit learn’s KNN model and Neural Network in python 3) Implemented Ensemble methods (Bagging, Boosting) for training and prediction 4) Compared and analyzed the accuracies across different models

Fixer At Home

We aim to provide on-site handyman services to our customers on their doorstep. Throughout platform, we connect workers with any physical skill they can offer to the user whorequires that skill. Our project will provide a platform for these workers to post theirinformation, including the skill or work they are willing to offer, along with their rates andcontact information on our app. Users can use this app to find the specific person for theservice they need. 1) Developed the front end of the website using React Js, HTML5, and bootstrap 2) Used MERN Stack for backend development 3) Performed Manual and Automated Testing of the website using Selenium and Blazemeter frameworks. 4)Tested the website to ensure cross-browser compatibility and mobile responsiveness 5) Built the information architecture for the website

Education

  • Lahore University of Management Sciences

    Bachelor of Science (BS) in Computer science

    2019-01-01-2023-01-01

  • Lahore Grammar School

    High school degree in Pure Sciences

    2017-01-01-2019-01-01

  • St Peter's School

    Other in Pure Sciences

    2015-01-01-2017-01-01

Languages

  • English

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